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Remote Aws Machine Learning Jobs in Indiana (NOW HIRING)

Java Architect

Indianapolis, IN · Remote

$60.25 - $81.25/hr

... remote enabled environment to make that possible. Recognized as a Best Places to Work since 2015 ... Continue learning by staying up to date with the latest technology, trends, tools and techniques ...

Engineer

Brook, IN · On-site +1

$83K - $135K/yr

This is a fully remote position ideally based within the corridor between Mason, Ohio and Boston ... Experience with other machine vision systems. * Experience with AutoCAD, 2D, SolidWorks, and 3D ...

This position can be remote based in the states in which the company operates. For a full list of ... be learning machines that will result in strategic insight to the companies we support. Topo ...

Remote. Key Responsibilities * Be responsible for hands-on execution of projects including Startup ... Our Team Dynamics Our teams support each other, collaborate, and never stop learning. Everyone ...

Showing results 41-50

Remote Aws Machine Learning information

What is a remote AWS Machine Learning job?

Remote AWS Machine Learning jobs involve working with Amazon Web Services' suite of machine learning tools and services, such as SageMaker, to build, train, and deploy machine learning models. These positions allow professionals to work from anywhere, collaborating with teams virtually while leveraging AWS infrastructure to solve data-driven problems. Responsibilities often include data preprocessing, model development, and deploying scalable solutions in the cloud. Typical job titles may include Machine Learning Engineer, Data Scientist, or AI Developer, all with a focus on AWS technologies. These roles require strong programming skills, experience with cloud computing, and a background in machine learning or data science.

What are the key skills and qualifications needed to thrive as a remote AWS Machine Learning engineer?

To thrive as a Remote AWS Machine Learning Engineer, you need a strong background in machine learning algorithms, statistical analysis, and proficiency in programming languages such as Python, often supported by a relevant degree or certification. Familiarity with AWS services like SageMaker, Lambda, and EC2, as well as experience using cloud-based ML tools and AWS Certified Machine Learning credentials, is typically required. Excellent problem-solving skills, self-motivation, and clear written communication are valuable soft skills for remote collaboration and project management. These skills ensure effective model development, seamless deployment on cloud infrastructure, and successful remote teamwork in delivering scalable ML solutions.

What are some common challenges faced by remote AWS Machine Learning engineers, and how can they be addressed?

Remote AWS Machine Learning engineers often face challenges related to communication and collaboration, especially when working across different time zones and with cross-functional teams. Ensuring secure access to data and cloud resources is another key concern, given the sensitive nature of many machine learning projects. To overcome these challenges, engineers should leverage AWS collaboration tools, maintain clear documentation, and participate in regular virtual meetings. Additionally, setting up robust security protocols and using AWS Identity and Access Management (IAM) helps safeguard project assets while enabling effective teamwork.

What is the difference between Remote Aws Machine Learning vs Remote Data Scientist?

AspectRemote Aws Machine LearningRemote Data Scientist
Required CredentialsAWS certifications, machine learning coursesStatistics, data analysis, programming skills
Work EnvironmentCloud platforms, AWS services, remote teamsData analysis, modeling, research in remote settings
Industry UsageTech, finance, healthcare using AWS ML toolsResearch, consulting, analytics across industries

Remote AWS Machine Learning specialists focus on deploying machine learning models using AWS cloud services, requiring AWS certifications and cloud expertise. Remote Data Scientists analyze data, build models, and interpret results, often with a stronger emphasis on statistics and programming. While both roles work remotely and involve data, AWS Machine Learning roles are more cloud and deployment-oriented, whereas Data Scientists focus on data analysis and research.

What are the most commonly searched types of Aws Machine Learning jobs in Indiana?

The most popular types of Aws Machine Learning jobs in Indiana are:

What cities in Indiana are hiring for Remote Aws Machine Learning jobs?

Cities in Indiana with the most Remote Aws Machine Learning job openings:

Java Architect

eimagine

Indianapolis, IN • Remote

$60.25 - $81.25/hr

Full-time

Re-posted 10 days ago


Job description

Overview

At eimagine, we know that your best work happens when you live your best life and share your unique talents, so we do everything we can to be intentional in a remote enabled environment to make that possible. Recognized as a Best Places to Work since 2015, we are a team of humbly confident people who are proud of their craft, continuous learners, and have been known to cheer loudly for our teammates. For over 24 years we have been helping clients navigate technology and business change, while staying committed to delivering value & outcomes that enables their success.

Due to our growth, we are seeking a Java Architect who will be responsible for designing, developing, and managing software architecture solutions using Java technologies. This role requires a deep understanding of software design principles, development processes, and the ability to lead development teams to deliver scalable, reliable, and high-performance applications. The Java Architect ensures the architecture aligns with business goals, industry best practices, and technical standards. Are you ready to eimagine better and create business value through IT solutions?

This position is located in Indianapolis, IN.

Responsibilities:

  • Define the architecture and technology standards for Java based applications/solutions.
  • Work collaboratively with other architects and leadership to refine and enhance systems, development standards, and best practices.
  • Work closely with all stakeholders including End-Users, Business Owners, Business Analysts, Software Engineers, Data Architects, Project Managers, and Technology Services Engineers to ensure successful delivery of projects
  • Participate in the requirements, design, and build phases, delivering high quality deliverables in a challenging timeframe.
  • Provide creative solutions to solve business and technical needs.
  • Perform product evaluations, Proof of Concepts, and related technical focused sales support.
  • Support guidance of eimagine employees regarding processes and technologies in collaboration with Technical Leads.
  • Continue learning by staying up to date with the latest technology, trends, tools and techniques applicable to meeting new business challenges.
Desired Skills & Experience
  • 12+ years of experience with modern Java, its core libraries, and open-source frameworks
  • Strong expertise in:
    • Java and Java frameworks (Spring, Hibernate, etc.)
    • Microservices architecture, RESTful API design, and integration
    • Cloud platforms (AWS, Azure, Google Cloud) and containerization (Docker, Kubernetes)
    • Relational and NoSQL databases (MySQL, PostgreSQL, MongoDB, etc.)
    • Distributed systems and high-performance applications
    • Design patterns (MVC, Singleton, Factory, Observer, etc.)
    • Continuous integration and continuous delivery (CI/CD) pipelines
  • Excellent communication skills to include internal/external interaction, and documentation.
  • Proven ability to self-manage and complete project deliverables.
  • Confident in making decisions, accurate, detailed-oriented and able to problem solve/analyze.
  • Good interpersonal, listening, written and verbal communication and basic project management skills.
  • Functional and/or Technical Certifications as deemed appropriate for specialization.
Education
  • Bachelor's degree in information technology, computer science or business administration required.
Employment Type: FULL_TIME